Overview

The Computational Finance programme at Carnegie Mellon University is an interdisciplinary degree jointly managed by the Mellon College of Science, the Tepper School of Business, and the Heinz College of Public Policy and Management. This curriculum is specifically engineered to provide students with a deep understanding of mathematical sciences and their direct applications within modern finance. Graduates are well-equipped to enter the workforce as quantitative analysts or to pursue advanced professional degrees in economics and mathematical finance.

Why Computational Finance at Carnegie Mellon University?

This programme is modelled after the university's world-renowned Master of Science in Computational Finance, ensuring that undergraduate students receive a rigorous education that meets industry standards. By bridging multiple colleges, the programme offers a unique environment where students can leverage the strengths of a top-tier business school alongside elite departments in mathematics and statistics. The interdisciplinary structure allows for a customisable educational path, where students can choose a home college that best aligns with their long-term career objectives while maintaining a consistent core curriculum.

Tuition Fee Breakdown

International fee: USD 67020 per year
National fee: USD 67020 per year
Local fee: USD 67020 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

Differential and Integral Calculus
Matrices and Linear Transformations
Mathematical Finance
Discrete Time Finance
Continuous-Time Finance
Statistical Inference
Modern Regression
Principles of Computing
Imperative Computation

Careers with Computational Finance

Graduates of this programme are highly sought after by the global finance industry for roles that require sophisticated quantitative skills and technical proficiency. Many alumni secure positions in financial engineering, investment analysis, and risk management immediately upon completion of their studies. The rigorous training in applied mathematics also opens doors to careers in other data-driven sectors where quantitative expertise is essential. Additionally, the programme provides a strong foundation for those intending to pursue doctoral research in finance, economics, or statistics at leading global institutions.

Programme Structure

Courses Include:

Algorithms and Advanced Data Structures

Algorithm Design and Analysis

Operations Research II

Principles of Real Analysis I

Mathematics of Fixed Income Markets

Advanced Methods for Data Analysis

Key information

Duration

Full-time
- 48 months

Start dates & application deadlines

Starting 2027-05-11 00:00:00
- Apply before 2027-01-05 00:00:00

Language

English

Duolingo English Test

135

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TOEFL^® IBT

102

Schedule TOEFL®

IELTS

7.5

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Credits

360 alternative credits

Carnegie Mellon has adopted the method of assigning a number of “units” for each course to represent the quantity of work required of students.

Delivered

On Campus

Campus Location

Pittsburgh, United States

Disciplines

Finance Computational Mathematics View 51 other Bachelors in Computational Mathematics in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Duolingo English Test

135

Take A Free Practice Test!

TOEFL^® IBT

102

Schedule TOEFL®

IELTS

7.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Common Application

$75 Application Fee
Official High School Transcript
Standardized Testing Scores
Secondary School Counselor Evaluation
Teacher Recommendation
Common Application Essay
Common Application Writing Supplement

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

67020 USD / year

≈ 67020 USD / year
Out-of-State

67020 USD / year

≈ 67020 USD / year
Domestic

Applies to you

In-State

67020 USD / year

≈ 67020 USD / year

Living costs

Pittsburgh

United States

1148 - 1944 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Scholarships Information

Below you will find Bachelor's scholarship opportunities for Computational Finance.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Pittsburgh

Funding

Need help with your student visa?

Scholarships Information

Available Scholarships

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